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cronometer-api-mcp

License: MIT CI Build Docker image PyPI

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An MCP (Model Context Protocol) server for Cronometer nutrition tracking, built on the reverse-engineered mobile REST API.

Unlike cronometer-mcp, which takes a comprehensive GWT-RPC approach against Cronometer's web backend, this server talks to the same JSON REST API used by the Cronometer Android app -- with clean payloads and stable, versioned endpoints.

Features

  • Food log -- diary entries with food names, amounts, meal groups
  • Nutrition data -- daily macro/micro totals and nutrition scores with per-nutrient confidence
  • Food search -- search the Cronometer food database, get detailed nutrition info
  • Diary management -- add/remove entries, copy days, mark days complete
  • Custom foods -- create foods with custom nutrition data
  • Macro targets -- read weekly schedule and saved templates
  • Fasting -- view history and aggregate statistics
  • Biometrics -- weight, body fat, heart rate, and other tracked metrics over a date range

Quick Start

1. Install uv

curl -LsSf https://astral.sh/uv/install.sh | sh

2. Set credentials

export CRONOMETER_USERNAME="your@email.com"
export CRONOMETER_PASSWORD="your-password"

Optional: override the account timezone

Diary entries are stamped in your Cronometer account's timezone, which the server reports at login. If that zone is wrong (for example, an older build had reset it) you can force a specific IANA zone without changing your account settings:

export CRONOMETER_ACCOUNT_TZ="America/Los_Angeles"

When set, this takes precedence over both the value reported at login and any cached session, so it also overrides a stale cached timezone.

3. Configure your MCP client

uvx downloads and runs the server on demand -- no separate install step.

OpenCode (opencode.json)

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "cronometer": {
      "type": "local",
      "command": ["uvx", "cronometer-api-mcp"],
      "environment": {
        "CRONOMETER_USERNAME": "{env:CRONOMETER_USERNAME}",
        "CRONOMETER_PASSWORD": "{env:CRONOMETER_PASSWORD}"
      },
      "enabled": true
    }
  }
}

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "cronometer": {
      "command": "uvx",
      "args": ["cronometer-api-mcp"],
      "env": {
        "CRONOMETER_USERNAME": "your@email.com",
        "CRONOMETER_PASSWORD": "your-password"
      }
    }
  }
}

Available Tools

Food Log & Nutrition

Tool Description
get_food_log Diary entries for a date, each enriched with food name, source, serving measure/count, and that food's per-entry nutrient contribution, plus an energy_summary (target/consumed/remaining kcal) and a nutrition_summary of consumed totals for every tracked nutrient
get_daily_nutrition Consumed macro and micronutrient totals for every nutrient tracked in Cronometer
get_nutrition_scores Category scores (Vitamins, Minerals, etc.) with per-nutrient consumed amounts and confidence levels

Food Search & Details

Tool Description
search_foods Search the Cronometer food database by name
get_food_details Full nutrition profile and serving sizes for a food

Diary Management

Tool Description
add_food_entry Log a food serving to the diary
remove_food_entry Remove one or more diary entries
add_custom_food Create a custom food with specified nutrition
add_recipe Create a recipe from existing foods referenced by ID and gram weight
import_recipe Create a recipe from a free-text ingredient list; Cronometer matches each line to a database food and converts the amount to grams
copy_day Copy all entries from the previous day
mark_day_complete Mark a diary day as complete or incomplete

Targets & Tracking

Tool Description
get_macro_targets Weekly macro schedule and saved target templates
get_fasting_history Fasting history within a date range
get_fasting_stats Aggregate fasting statistics
list_biometrics List trackable biometric metrics and their units
get_biometrics Biometric time series (e.g. weight, body fat) within a date range

All date parameters use YYYY-MM-DD format and default to today when omitted.

Transport

stdio only. For remote/hosted use, the stdio server is wrapped by supergateway (see Dockerfile), which owns the HTTP listener and exposes MCP streamable-HTTP at /mcp. The server has no built-in authentication — any remote deployment must sit behind an authenticating gateway or reverse proxy.

Development

For local development, copy .env.example to .env and fill in your credentials:

cp .env.example .env
# edit .env
uv run cronometer-api-mcp

The CLI auto-loads .env on startup (dev convenience only). Real environment variables always win over .env, so production deployments and MCP client env blocks are unaffected.

How It Works

This server communicates with mobile.cronometer.com -- the same REST API used by the Cronometer Android/Flutter app. The API was reverse-engineered through:

  1. Static analysis of libapp.so (Dart AOT snapshot) from the APK to discover endpoint names
  2. Traffic interception via Frida + mitmproxy to capture exact request/response formats
  3. Trial-and-error against the live API to confirm payload shapes

The API uses two protocols:

  • v2 (POST /api/v2/*) -- JSON-body auth, used for most operations (food search, diary read/write, nutrition, fasting, macros, biometrics)
  • v3 (DELETE /api/v3/user/{id}/*) -- Header-based auth (x-crono-session), used for diary entry deletion

Recipe import is the one asynchronous operation: import_recipe returns a job id, and poll_async_result is polled until the server reports 100% progress and attaches the parsed ingredients.

Python API

You can use the client directly:

from cronometer_api_mcp.client import CronometerClient
from datetime import date

client = CronometerClient()

# Search for foods
results = client.search_food("chicken breast")

# Get food details
food = client.get_food(results[0]["id"])

# Log a serving
client.add_serving(
    food_id=food["id"],
    measure_id=food["defaultMeasureId"],
    grams=200,
)

# Get today's diary
diary = client.get_diary()

# Import a recipe from a free-text ingredient list
recipe = client.import_recipe("one hot dog\nketchup\nbun")
print(recipe["food_id"], recipe["ingredients"])

# Parse without saving, to review the matches first
preview = client.import_recipe("2 tbsp olive oil\n200g chicken", save=False)

# Get nutrition scores
scores = client.get_nutrition_scores()

License

MIT

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